LICENSURE BY ENDORSEMENT APPLICATION Applicants who possess a current psychologist license in good standing in another jurisdiction. Application Form Including Social Security Authorization form (required) and Race, Ethnicity & Language Skills Questionnai
Bibliographic record
Abstract
Request that the your file be sent directly to the Board's office from your original licensing state or from your credentialing body (ASPPB, ABPP, or National Register). The Board will accept copies of transcripts, EPPP verification (date passed and score), and documentation of supervised work experience when received directly from the other licensing state or credentialing body. If these are not provided in your file, you will need to request: Official graduate level transcript(s) showing date degree was conferred, sent directly from the educational institution to the Board's office. EPPP score transfer from ASPPB. Documentation of post-doctoral work experience (i.e. supervisor references). License/Credential Verification(s) Request an official license verification from each health care professional license or registration, current or expired (use the License Verification Request form). Endorsement Reference Forms Three (3) reference forms from mental health professionals who can attest to your professionalism and fitness to practice psychology, and who have each had at least 10 years of experience in the mental health field and have known you for at least 5 continuous years. Background Check Please visit the Board's website for more information on completing the background check. If your doctoral degree program was NOT accredited by the American Psychological Association or the Canadian Psychological Association, you will also need:
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.712 | 0.532 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".